The purpose of this research studies the impact of business intelligence on the financial reporting quality of listed companies in the Tehran Stock Exchange using structural equation modeling. The instruments of this research were the business Intelligence Questionnaire (Provich, 2012) and the financial statements of listed companies in The Tehran Stock Exchange to study of the financial report...

This study aimed to present a model for portfolio risk premium assessment of companies listed in Tehran Stock Exchange. In order to achieve this purpose, monthly data of 150 companies listed in Tehran Stock Exchange during 2007-2017 was used. In this study, the predictive powers of FamaFrench three-factor model [11], Carhart four-factor model [1], Fama - French five-factor model [24], Brousseau...

The aim of this study is to investigate a behavioral approach by anchoring bias as a criterion to explain 52-week-high strategy and trough this we can find an explain for momentum strategy at uncertainty situation, to the companies listed on the Tehran Stock Exchange. The information uncertainty criteria include the book value to market value (BV / MV), company age (Age), the size of the entity...

Modeling and analysis of future prices has been hot topic for economic analysts in recent years. Traditionally, the complex movements in the prices are usually taken as random or stochastic process. However, they may be produced by a deterministic nonlinear process. Accuracy and efficiency of economic models in the short period forecasting is strategic and crucial for business world. Nonlinear ...

The present study aimed at investigating the effect of debt and free cash flows on tax avoidance by emphasizing the role of institutional ownership in companies listed on the Tehran Stock Exchange. The statistical population of the study includes all companies listed on the Tehran Stock Exchange from 2013 to 2019. The statistical data for testing hypotheses based on the databases of Tehran Stoc...